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Data Warehouse Solutions on System zData Warehouse Solutions on System z
- Doing more with what you have!- Doing more with what you have!
Beth Hamel Beth Hamel
Product Manager for Data Warehouse Solutions on System zProduct Manager for Data Warehouse Solutions on System z
September 2009September 2009
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The Strengths of System z for Data Warehousing and BI
Many System z customers already use System z for Data Warehouse and BI
IBM is responding to customer demand with new DB2 features, new software offerings and improved hardware performance and efficiency.
Customers want to leverage their existing System z
infrastructure
Costs can be reduced through the utilization of existing processors, people, and practices.
Cost savings may also be achieved through a consolidation approach.
New BI trends map well to the strengths of DB2 for z/OS
and System z
Distinction is blurring between warehouse and OLTP databases due to new trends like Dynamic Warehouse and Operational BI, driving the need for: mixed workload support, increased reliability, availability, security, and compliance in a DWH.
Specialty processors and the new z10 provide additional ways
to optimize costs
zIIPs and IFLs are driving down hardware and software costs; DWH/BI can make excellent use of these processors, ultimately driving cost advantages.
Z10 processors are delivering excellent speeds and feeds, at lower cost.
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The Changing Data Warehouse Market
• The data warehouse is a mission-critical system, with data warehouses serving in an increasingly mixed workload capacity, including as a data source for online applications. "Deep mining“ analysts and business analysts are running less-structured but equally complex queries and fast running tactical queries, each with differing service-level expectations. These differing workloads are all competing for CPU, memory and disk access. At the same time, data latency continues to progress from batch to continuous loading demands.
Publication Date: 23 December 2008/ID Number: G00163473; © 2008 Gartner, Inc. and/or its Affiliates. All Rights Reserved.
Information Management Software
© 2009 IBM Corporation
Data Warehouse and BI System z Solution
Information Server
for System z
DB2 for z/OS
OLTP data
Data Warehouse
Cognos 8 BI for
System z
Serving Up Consolidated Enterprise BI
Complete ETL Solution
The Enterprise Data Warehouse
InfoSphere Warehouse Cubing
Services
InfoSphere Warehouse
SQW
Source Systems :DB2IMS
VSAM
Combining the Reliability and Availability of DB2 for z/OS with Cost Effective Applications running on Linux for System z
InfoSphere Replication Server
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InfoSphere Warehouse on System z
Adds core data warehouse and analytics capability to DB2 for z/OS:
• Advanced physical database modeling and design
• In-database data movement and manipulation capabilities of SQL Warehouse Tool (SQW)
• Optimize multidimensional reporting and analysis of data with Cubing Services
5
Cognos
Excel
z/OS Linux on System z
OLTP DB2 DWH DB2
SQW
MDX Queries
Cubing Services
IW Design Studio
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Four Simple Steps to your new DB2 for z/OS Warehouse
6
1. Model your data for OLAP access using the InfoSphere Warehouse Design Studio
2. Populate your star schema using InfoSphere Warehouse SQW Scripts
3. Build one or more Cube structures using the InfoSphere Warehouse Design Studio
4. Access data through Excel or Cognos MDX queries
InfoSphere WarehouseDesign Studio
Cognos
Excel
System z Environment Improved with InfoSphere Warehouse
z/OS Linux on System z
OLTP DB2 DWH DB2
SQW
MDX Queries
Cubing Services
1
2
3
4
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Ultimate Consolidation Opportunity
z/OS LPAREnterprise
Data Warehouse
z/OS LPAREnterprise
Data Warehouse
z/OS LPAROperational
System (OLTP)
z/OS LPAROperational
System (OLTP)
z/VM LPARz/VM LPAR
InformationServer 8.1
DataStage and QualityStage
Data SharingGroup
Data SharingGroup DB2 for z/OSDB2 for z/OS DB2 for z/OSDB2 for z/OSELTELT
InfoSphere Warehouse
9.5.2SQW and Cubing
Services
Cognos BI Server 8.4
BI and Reporting
Consolidation of mission-critical data on System z
Leveraging existing environment, high availability, backup and governance procedures as well as skills
Efficient data movement within a data sharing group (no network)
Performance and TCO improvements through cubing services (data marts) and DB2 enhancements
Complex transformations and data quality are driven from Linux on System z with Information Server
Linux on System z Linux on System z Linux on System z
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Reference Materials
• Relevant System z DW/BI Redbooks:
• http://www.redbooks.ibm.com/abstracts/sg247637.html
• http://www.redbooks.ibm.com/redpieces/abstracts/sg247674.html
• http://www.redbooks.ibm.com/redpieces/abstracts/sg247679.html
• http://www.redbooks.ibm.com/abstracts/redp4514.html
• 3 more currently in progress: Cognos on System z, Data Collocation, InfoSphere Warehouse
• Cognos 8 BI Performance Whitepaper:
• http://www-03.ibm.com/support/techdocs/atsmastr.nsf/WebIndex/WP101437
• More:
• http://www-01.ibm.com/software/data/businessintelligence/systemz/
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